This paper presents the application of short crack propagation models based on the cyclic R-curve for assessing the fatigue strength of additively manufactured (AM) materials containing fabrication defects. Chapetti’s and IBESS models were implemented in combination with Murakami’s $\sqrt{\mathit{area}}$ parameter, considering recently published data on laser powder bed fusion processed AISI 316L stainless steels. Estimated S-N curves and Kitagawa-Takahashi diagrams predict fairly well the experimental data, especially the origin of the failure from internal or surface defects. These results provide an indication that the methods based on the cyclic R-curve constitute suitable tools for fatigue behavior assessment of AM materials.

本文介绍了基于循环 R 曲线的短裂纹扩展模型在评估包含制造缺陷的增材制造 (AM) 材料的疲劳强度方面的应用。Chapetti 和 IBESS 模型是结合村上的模型实现的$\sqrt{\mathit{区域}}$参数，考虑到最近公布的激光粉末床融合加工 AISI 316L 不锈钢数据。估计的 SN 曲线和 Kitagawa-Takahashi 图很好地预测了实验数据，尤其是内部或表面缺陷导致的失效原因。这些结果表明，基于循环 R 曲线的方法构成了适用于 AM 材料疲劳行为评估的工具。